Description Robert Half is seeking an experienced Data Architect to design and lead scalable, secure, and high-performing enterprise data solutions. This role will focus on building next-generation cloud data platforms, driving adoption of modern analytics technologies, and ensuring alignment with governance and security standards.
You'll serve as a hands-on technical leader, partnering closely with engineering, analytics, and business teams to architect data platforms that enable advanced analytics and AI/ML initiatives. This position blends deep technical expertise with strategic thinking to help unlock the value of data across the organization.
Key Responsibilities:- Design and implement end-to-end data architecture for big data and advanced analytics platforms.
- Architect and build Delta Lake-based lakehouse environments from the ground up, including DLT pipelines, PySpark jobs, workflows, Unity Catalog, and Medallion architecture.
- Develop scalable data models that meet performance, security, and governance requirements.
- Configure and optimize clusters, notebooks, and workflows to support ETL/ELT pipelines.
- Integrate cloud data platforms with supporting services such as data storage, orchestration, secrets management, and analytics tools.
- Establish and enforce best practices for data governance, security, and cost optimization.
- Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions.
- Provide technical leadership and mentorship to team members.
- Monitor, troubleshoot, and optimize data pipelines to ensure reliability and efficiency.
- Ensure compliance with organizational and regulatory standards related to data privacy and security.
- Create and maintain documentation for architecture, processes, and governance standards.
Requirements Required Qualifications:- 7+ years of experience in data engineering and data modeling, including at least 2 years in an architecture or senior technical leadership role.
- Proven experience designing enterprise cloud data platforms (Azure).
- Hands-on experience with Databricks (or comparable cloud-based data engineering platforms) for building, orchestrating, and optimizing data pipelines.
- Hands-on experience building lakehouse architectures using Delta Lake, DLT, PySpark, workflows, Unity Catalog, and Medallion patterns.
Preferred Skills and Experience:- Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
- Strong understanding of data security principles and best practices.
- Experience with platform monitoring and performance tuning.
- Solid knowledge of DevOps and Infrastructure-as-Code practices, including CI/CD pipelines and automated deployments.
- Strong analytical and problem-solving skills with the ability to resolve complex technical issues.
- Experience creating clear technical documentation and operating standards.
- Relevant cloud or data engineering certifications.
- Excellent organizational and communication skills, with the ability to work independently while managing multiple priorities.
- Comfortable working in a fast-paced, collaborative environment.
Technology Doesn't Change the World, People Do.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
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